"What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead. But besides the current momentum, we still have to focus on real problems that bring real value as of now. This balance is sometimes challenging, but also creates opportunities to reform our thinking and approaches."
"As AI agents become embedded collaborators in our systems, designers face a powerful and pressing question: Who are we designing for now? Suddenly, we find ourselves in the middle of a new Experience dilemma: designing for both people and programs. That means exploring new personas and reconciling different approaches: emotional intuition, logical execution, and the coherence of both. Let's have a look at the pitfalls of this dilemma and explore what we have to consider while designing for both humans and machines."
AI is disrupting industries rapidly, shifting design focus from pixel-perfect fidelity to foresight and future-proof systems. Product designers must sense trends, build systems that anticipate years ahead, and still solve immediate, high-value problems. Balancing long-term conceptual work with present practical needs creates opportunities to reform design approaches. As AI agents become embedded collaborators, design responsibilities expand to include both human and programmatic users. Agents parse and tokenize rather than feel, so interfaces must provide structured data, semantic markup, accessible roles, predictable metadata, and contextual clarity. Interfaces that appeal to humans but confuse AI agents risk failing in intertwined human-agent experiences.
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